通过地球移动器的距离计算聚合物组合的对相似性
Jiale Shi1, Dylan Walsh1, Weizhong Zou1
1Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.
ACS polymers Au
|February 19, 2024
概括
本研究介绍了用于比较合成聚合物组合的地球移动器距离 (EMD) 度量. EMD提供比平均更准确的相似度得分,改善了聚合物数据库搜索和机器学习应用程序.
科学领域:
- 聚合物科学 聚合物科学
- 计算化学的计算化学
- 材料科学 材料科学 材料科学
背景情况:
- 合成聚合物是复杂的组合,具有多样化的链特性.
- 现有的方法难以准确量化聚合物组合之间的对相似性.
- 开发强大的相似度指标对于聚合物信息学至关重要.
研究的目的:
- 提出和验证地球移动器距离 (EMD) 作为聚合物组合相似性的新型度量.
- 为了证明EMD在传统的平均化方法上的优势.
- 增强聚合物分析和设计的计算工具.
主要方法:
- 地移器距离 (EMD) 算法的应用到聚合物组合比较.
- 聚合物种群之间的化学差异的定量分析.
- 与现有的相似性评估技术进行EMD比较.
主要成果:
- 与平均化相比,EMD提供了聚合物组合之间的化学差异的更高分辨率.
- 该指标产生了与化学直觉一致的定量相似度得分.
- 在复杂的聚合物混合物中,EMD成功量化了对对相似性.
结论:
- 地移器距离 (EMD) 是评估合成聚合物组合相似性的有效指标.
- 这种方法可以显著改善聚合物数据库中的化学搜索算法.
- EMD促进了用于聚合物设计,优化和属性预测的机器学习的进步.
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